Capturing cognitive load management during authentic virtual reality flight training with behavioural and physiological indicators.

Autor:	Lämsä, Joni, Mannonen, Joonas, Tuhkala, Ari, Heilala, Ville, Helovuo, Arto, Tynkkynen, Ilkka, Lampi, Emilia, Sipiläinen, Katriina, Kärkkäinen, Tommi, Hämäläinen, Raija
Předmět:	CONFIDENCE intervals VIRTUAL reality SIMULATION methods in education AERONAUTICS LEARNING strategies CONCEPTUAL structures CRONBACH'S alpha DESCRIPTIVE statistics HEART beat RESEARCH funding COGNITIVE testing BEHAVIOR modification VIDEO recording
Zdroj:	Journal of Computer Assisted Learning; Oct2023, Vol. 39 Issue 5, p1553-1563, 11p
Abstrakt:	Background: Cognitive load (CL) management is essential in safety‐critical fields so that professionals can monitor and control their cognitive resources efficiently to perform and solve scenarios in a timely and safe manner, even in complex and unexpected circumstances. Thus, cognitive load theory (CLT) can be used to design virtual reality (VR) training programmes for professional learning in these fields. Objectives: We studied CL management performance through behavioural indicators in authentic VR flight training and explored if and to what extent physiological data was associated with CL management performance. Methods: The expert (n = 8) and novice pilots (n = 6) performed three approach and landing scenarios with increasing element interactivity. We used video recordings of the training to assess CL management performance based on the behavioural indicators. Then, we used the heart rate (HR) and heart rate variability (HRV) data to study the associations between the physiological data and CL management performance. Results and Conclusions: The pilots performed effectively in CL management. The experience of the pilots did not remarkably explain the variation in CL management performance. The scenario with the highest element interactivity and an increase in the very low‐frequency band of HRV were associated with decreased performance in CL management. Takeaways: Our study sheds light on the association between physiological indicators and CL management performance, which has traditionally been assessed with behavioural indicators in professional learning in safety‐critical fields. Thus, physiological measurements can be used to supplement the assessment of CL management performance, as relying solely on behavioural indicators can be time consuming. Lay Description: What is currently known about the subject matter: The advantages of VR training systems are clear in the safety‐critical fields.Cognitive load (CL) theory may help design of VR training.CL management is part of the professional competence in these fields. What this paper adds: The pilots performed well in CL management in VR flight training.The work experience of the pilot was not associated with the performance.The physiological data improved the explanatory level of the performance. The implications of study findings for practitioners: Pilots need time to get used to the immersive learning environment.Typical 1–2‐hour intensive VR flight training is not too demanding.The physiological data could complement CL management assessment. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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